AIの学びを「登山」にたとえると、誤差逆伝播法は“下山ルートを教えてくれるガイド”のような存在です。 AIは山頂（＝正解）を目指して登りますが、最初のうちはルートがわかりません。 ときには遠回りし、ときには崖にぶつかり、「間違えた！

2-Stage Backpropagation is an advanced technique for training neural networks that aims to improve convergence and generalization. It involves splitting the network into two parts and training them ...

You can find java test/example programs in the test directory on Github. 👷‍♂️ TesterSimpleNumbers.java is the most simple example, training a one-hidden-layer backpropagation network to approximate a ...

Abstract: The backpropagation (BPN) algorithm is used in artificial neural networks (ANN) for training the networks that uses unsupervised learning and it is performed in two consecutive phases for ...

Backpropagation, the cornerstone of deep learning, is limited to computing gradients solely for continuous variables. This limitation hinders various research on problems involving discrete latent ...

Abstract: State-of-the-art systolic array-based accelerators adopt the traditional im2col algorithm to accelerate the inference of convolutional layers. However, traditional im2col cannot efficiently ...